Python provides a built-in library called `pprint` (pretty-print) that is used to format and print data structures in a more readable way. This is especially useful for complex data structures such as lists and dictionaries.
pretty-print, pprint, Python data structures, readable output, code formatting
This content explains how to use the pprint module in Python for better readability of complex data structures.
import pprint
# Create a sample data structure
data = {
'name': 'John Doe',
'age': 30,
'city': 'New York',
'hobbies': ['reading', 'traveling', 'coding']
}
# Pretty-print the data structure
pp = pprint.PrettyPrinter(indent=4)
pp.pprint(data)
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?